| Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion JF Cai, T Wang, K Wei Applied and Computational Harmonic Analysis 46 (1), 94-121, 2019 | 81 | 2019 |
| Spectral compressed sensing via projected gradient descent JF Cai, T Wang, K Wei SIAM Journal on Optimization 28 (3), 2625-2653, 2018 | 42 | 2018 |
| Accelerated structured alternating projections for robust spectrally sparse signal recovery HQ Cai, JF Cai, T Wang, G Yin IEEE Transactions on Signal Processing 69, 809-821, 2021 | 18* | 2021 |
| Fast Cadzow’s algorithm and a gradient variant H Wang, JF Cai, T Wang, K Wei Journal of Scientific Computing 88 (2), 41, 2021 | 8 | 2021 |
| SketchyCoreSVD: SketchySVD from random subsampling of the data matrix C Bajaj, Y Wang, T Wang 2019 IEEE International Conference on Big Data (Big Data), 26-35, 2019 | 4 | 2019 |
| Blind hyperspectral-multispectral image fusion via graph Laplacian regularization C Bajaj, T Wang arXiv preprint arXiv:1902.08224, 2019 | 3 | 2019 |
| Outlier detection using generative models with theoretical performance guarantees J Yi, AD Le, T Wang, X Wu, W Xu arXiv preprint arXiv:1810.11335, 2018 | 3 | 2018 |
| Non-convex methods for spectrally sparse signal reconstruction via low-rank Hankel matrix completion T Wang The University of Iowa, 2018 | | 2018 |
Jian-Feng CaiProfessor of Mathematics, Hong Kong University of Science and TechnologyVerified email at ust.hk
